No.43, Ist Floor, Laxmi Ammal Layout,
Lakshmipuram, Peelamedu,
Coimbatore - 641004.

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No.43, Ist Floor, Laxmi Ammal Layout,
Lakshmipuram, Peelamedu,
Coimbatore - 641004.
Tamil nadu, India.
+91 98942 44111
ping@avbteknosolves.com

Access to energy is at the very heart of development. Universal access to affordable, reliable, and sustainable modern energy is one of the Sustainable Development Goals.

Yet it will remain just that—a goal—unless innovative solutions and modern technologies can overcomethe many energy-related obstacles that plague emerging markets, from a lack of sufficient power generation, to poor transmission and distribution infrastructure, to affordability and climate concerns.

In addition, the diversification and decentralization of energy production, along with the advent of new technologies and changing demand patterns, create complex challenges for power generation, transmission, distribution, and consumption in all nations.

Distribution Automation with Artificial Intelligence has the potential to cut energy waste, lower energy costs, and facilitate and accelerate the use of clean renewable energy sources in power grids worldwide. It can also improve the planning, operation, and control of power systems.

The power sector has a promising future with the advent of solutions such as SCADA managed smart grids. These are electrical grids that allow two-way communication between utilities and consumers.Smart grids are embedded with an information layer that allows communication between its various components so they can better respond to quick changes in energy demand or urgent situations. This information layer, created through widespread installation of smart meters and sensors, allows for data collection, storage, and analysis.

The increasing uncertainty of parameters such as future precipitation levels or pricing are among the many challenges to optimizing production and profit.Paired with powerful data analytics, these smart-grid elements have helped improve the reliability, security, and efficiency of electricity transmission and distribution networks.

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